STLA
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
undefined (STLA) Business Model and Operations Summary
Stellantis N.V. engages in the design, engineering, manufacturing, distribution, and sale of automobiles and light commercial vehicles, engines, transmission systems, metallurgical products, and production systems worldwide. It provides luxury, premium, and mainstream passenger vehicles; pickup trucks, sport utility vehicles, and commercial vehicles; and parts and services, as well as retail and dealer financing, leasing, and rental services. The company offers its products under the Abarth, Alfa Romeo, Chrysler, Citroën, DS, Dodge, Fiat, Fiat Professional, Jeep, Maserati, Ram, Opel, Lancia, Vauxhall, Peugeot, Teksid, and Comau brand names. It sells its products directly, as well as through distributors and dealers. Stellantis N.V. was founded in 1899 and is headquartered in Hoofddorp, the Netherlands.
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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